Data Science – Telegram
Data Science
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DS
По всем вопросам- @haarrp

@ai_machinelearning_big_data - machine learning

@pythonl - Python

@itchannels_telegram - 🔥 best it channels

@ArtificialIntelligencedl - AI

@pythonlbooks-📚

@programming_books_it -📚

Реестр РКН: https://clck.ru/3Fk3zS
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Neural Networks and Learning Machines Third Edition

📖 Book

@datascienceiot
pandas: powerful Python data analysis toolkit

📖 Book

@datascienceiot
Developing Analytic Talent

📖 Book

@datascienceiot
Machine Learning Simplified A Gentle Introduction to Supervised Learning

📖 Book

@datascienceiot
Getting Started with Artificial Intelligence Second Edition

📖 Book

@datascienceiot
PROGRAMMING FOR PROBLEM SOLVING DIGITAL NOTES

📖 Book

@datascienceiot
Introduction to Machine Learning Third Edition

📖 Book

@datascienceiot
The fastai book

📖 Book

@datascienceiot
Python Data Science Handbook

📖 Book

@datascienceiot
Big Data: New Tricks for Econometrics

📖 Book

@datascienceiot
Data Structures and Algorithms Cheat Sheet

📖 Book

@datascienceiot
spaCy: Advanced NLP in Python

📖 Book

@datascienceiot
Spark DataFrames in Python


📖 Book

@datascienceiot
murenei_natural-language-processing-with-python-and-nltk.pdf
54.2 KB
Natural Language Processing with Python & nltk Cheat Sheet



@datascienceiot
keras.pdf
553.3 KB
Deep learning with Keras in R

@datascienceiot
Hello everyone. My name is Andrew and for several years I've been working on to make the learning path for ML
easier.

I wrote a manual on machine learning that
everyone understands - Machine Learning Simplified Book. The main purpose of my book is to build an intuitive
understanding of how algorithms work through basic examples.

After reading this book, you will know the basics of supervised learning, understand complex mathematical models, understand the entire pipeline of a typical ML project, and also be able to share your knowledge with colleagues from related industries and with technical
professionals.

And for those who find the theoretical part not enough - I supplemented the book with a repository on GitHub,
which has Python implementation of every method and algorithm that I describe in each chapter.

You can read the book absolutely free at the link below:
-> https://themlsbook.com
DATA SCIENCE book

📖 Book

@datascienceiot